KI at Versicherern: Große Pläne, große Lücken

After all the different plans, the one-sided knowledge of the matter, but it is not the case that the Wunsch and the Wirklichkeit cause a laugh. Do you want to take the industry and the rest of your company into the next department? I’m working on Whitepaper gehen SPS Germany and the Versicherungsforen Leipzig with Industry Experts and Experts at the Bereichen Damage Management and Data Science ins Discussions.

bFor example, with a technological fortification that can rule out the end of AI in the packaging industry in recent years. You can choose from one of the efficiency of your scaffolding, the cost of your costs and your expertise. I am a stehen dabei agent dealing with the claims management, generating a high volume of production and drawing a strong flow from the available knowledge.

Garbage-in-Garbage-out: data quality is separated

Trotz may have been popular with pilot projects that revived the productive Einsatz of KI-Anwendungen. So the intelligent intelligence can now be as good as the data, which is in your Verfügung style.

It is important that you do not have to worry about dating, regardless of all the dating requirements.”

Eva Hörster, Leader of the Data Science Teams at HUK-Coburg

Der Begriff, Garbage-in-Garbage-out’ describes the problem, at the fehlerhafte, incomplete or reliable data on solving problems in the nutzung of KI-führen.

Versicherungsforen Leipzig/SPS

The biggest problem: a complex AI approach is composed and involved, personal and know-how of project development in the pilot phase are erforderlich. Make sure that the wringer is quickly 60 percent of the people that McKinsey has in an Umfrage-feststellt. Above all technological barriers:

Some people think that we ourselves are a tentwickelte, veraltete System Nutzen, the few API Schnittstellen have almost no Integration erlauben”

Simon Moser, CEO InsurTech Muffintech

Versicherungsforen Leipzig/SPS

One of the few fragments is the quality of the KI Entscheidungen. The separation path of AI models was one of the most common problems with Blackbox-Problem. Fehlentscheidungen durch KI can carry out its financing activities and improve its financing activities. Here you will find information about documentation and risk management. Entsprechend anspruchsvoll ist damit de notnauwe Qualitätssicherung.

KI and Mensch: there will be one on the balance sheet

Making sure that these reassignments all fall on the KI of the construction companies is not the right way. An intelligent computer game between people and machines – from quality and data processing to finding solutions for complex systems – can yield individual success factors.

It is an undisputed way to create complex solutions and separations that can act as a partner for the customer, when this Unterstützung is used. If you have an urgent question, such a process will be effective. The business environment is separated, the right balance is found and both are used optimally.”

Karin Brandl, Bereich Schaden Komposit ERGO Versicherung

Outsourcing can be a problem here. Specialized service leaders enhance the capabilities and technology, quality and efficiency of AI projects. Service providers who could use their flexible capital did not intend to take the project from the pilot phase into the operational phase.

,Make or Buy?’: Versicherer prüfen Shoring-Lösungen

Schon bare with the new AI technology that is individual with its knowledge of hyper-personalization, real data analysis or predictive modeling in claims management. It is important to consider the Frage: Make or buy? Many variations with that fragility and excessive drying in the world of the problem, probably resolved themselves. There are no standardized Tools and Methods for providing services to Near or Offshore solutions for the manual quality control, which involves cost-saving measures.

In many cases there are first positive business cases for an AI project.”

Christian Ott, business process management specialist at SPS

In 2017, SPS expanded with Input Management for general Switzerland and the large amount of millions of physical and digital documentation. So there are general structure and quality data for the operational processes in file processing and claims management.

The Whitepaper from SPS and the Versicherungsforen Leipzig “Industrieller Einsatz von KI in der Versicherung – Erfolgsfaktoren und Strategien” can be found here after Abgabe der contactdaten have been reloaded.bj